Interest in and Public Perceptions of Canadian Arctic Sovereignty: Evidence from Editorials, 2000–2014
Bibliographic record
Abstract
The media have been presented as influential actors shaping how Canadians relate to their Arctic and formulating policy recommendations to federal decision-makers. However, media coverage of Canadian Arctic sovereignty (CAS) has not been studied over a long period of time, and anecdotal evidence and specific case studies constitute the bulk of our knowledge of the media's take on CAS. The following article offers a contribution to detail the nature of media perceptions and policy recommendations on Arctic issues. To do so, 647 opinion texts published in 23 different Canadian newspapers were collected to offer both quantitative and qualitative insights. Once compared with fluctuations in public opinion and governmental involvement, we conclude that the media can follow, playing a passive role reacting to (and not preceding) political messaging and current events, and lead, recommending alternative ideas and perceptions, depending on the circumstances.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".